Research Data Coordinator

About this role

Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us .

When you join BMS, you are joining a high-achieving team united by a common mission. 

The Informatics and Predictive Sciences (IPS) mission is to Pioneer, Partner and Predict to drive transformative insights for patient benefit.  IPS conducts applied computational research in areas that include genomic, structural and molecular informatics, computational and systems biology, patient selection and translational biomarker research, and broader fields including knowledge science, epidemiology and machine learning—across the full lifecycle of drug discovery and development and across all therapeutic areas at BMS.   We do this in close partnership with scientific and clinical experts in the field, both inside and outside the company.   We perform innovative science to empower key data-driven decisions across a rich pipeline of next-generation medicines. In doing so, our work transforms the lives of patients, as well as our own lives and careers.

Here, you’ll get the chance to grow and thrive through opportunities that are uncommon in scale and scope. You’ll pursue innovative ideas while advancing professionally alongside some of the brightest minds in biopharma.

Knowledge Science Research – Senior Scientist - Research Data Coordinator

BMS seeks a talented, results-oriented individual with a passion for data/information management to support Research initiatives. This hands-on role partners closely with internal study teams, vendors, CROs, and cross-functional stakeholders to ensure research data are effectively managed as a strategic organizational asset, aligned with FAIR data principles, and positioned to meet AI-ready data goals.

The Research Data Coordinator will coordinate, curate, validate, and maintain high-quality, reproducible scientific datasets that support research, analytics, and digital transformation initiatives across the R&D lifecycle. The ideal candidate brings experience working collaboratively in cross-functional environments and a strong ability to drive standardized, scalable, and compliant scientific data management practices.

What you’ll do

• Author and review Data Transfer Specifications (DTS) documents; own the end-to-end data flow from CROs, central labs, and specialty vendors into BMS systems. • Ensure the accurate, complete and timely collection, delivery and tracking of analytical information from translational research, CRO or collaborating laboratories for analysis, reporting and presentation • Execute data management activities for external laboratory data for clinical studies • Coordinate, prioritize, track and complete project management activities • Manage vendor relationships, receipt of accurate data, and quality control of vendor deliverables pertaining to data transfers, communicating all discrepancies found • Work with research study teams to develop research information management plans that outline data capture, data flow, data queries, manual checks, and data listings needed to ensure data integrity • Participate in comprehensive data review activities in coordination with project and study teams • Collaborate with data scientists, computational scientists, biostatisticians and study scientists to resolve any data issues found during analysis • Perform data review, and generate data queries to sites or vendors when necessary • Make data, including interim data, available to research department personnel as required • Support FAIR and AI-ready data goals by applying consistent standards, annotation, and quality checks across the datasets you steward. • Serve as the research-data voice in tool development with data science and digital partners — defining user requirements and testing new data management and visualization tools.

Basic Qualifications: • 3–5 years coordinating external laboratory or vendor-generated data for clinical or translational studies (e.g., CRO/central-lab data transfers, biomarker or specimen data, EDC external-data reconciliation) • Bachelor’s Degree in life science, computer science, or related discipline • Strong understanding of data formats and common quality control practices • Proficiency in managing the organization of documents and tracking data deliveries, downstream locations, and error handling • Experience that represents strong attention to detail • Excellent written and verbal communication, ability to work independently and within a team, and exemplary critical thinking, analytical skills, and judgment • Proven ability to work in a team environment with clinical personnel, study monitors, computational biologists, biostatisticians, programmers, and medical writers • Savvy with AWS CLI and working within S3 or similar object storage systems • Familiarity with programmatically integrating and verifying data according to specifications using R and/or Python • Experience with implementing agentic AI for data ingestion and quality control, particularly Claude Code

Preferred Qualifications: • Knowledge of FDA/ICH guidelines and industry standard practices regarding data management are helpful but not required •

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